Pose Estimation For Gestures

Pose Estimation for Gestures is a computational method within gesture recognition that determines the spatial configuration and orientation of human body parts—particularly hands and arms—using sensor or visual data to model anatomically plausible poses as a basis for interpreting intentional gestural actions.

172

Publications

7.4K

Citations

577

Authors

242

Institutions

Publications per year

2017–2026

79

Authors

577

  1. CH
    Chris Harrison

    Carnegie Mellon University, United States

    3 publications · 104 citations

    3

    h-index

  2. ZJ
    Zhaojie Ju

    University of Portsmouth, United Kingdom

    3 publications · 279 citations

    3

    h-index

  3. JP
    Justus Piater

    Universität Innsbruck, Austria

    3 publications · 78 citations

    3

    h-index

  4. DS
    Dadhichi Shukla

    Universität Innsbruck, Austria

    2 publications · 57 citations

    2

    h-index

  5. ÖE
    Özgür Erkent

    Centre Inria de l'Université Grenoble Alpes, France

    2 publications · 57 citations

    2

    h-index

1–5 of 577

Venues

  1. Pattern Recognition

    5 publications · 523 citations

    5

    h-index

  2. Sensors

    4 publications · 131 citations

    4

    h-index

  3. 3

    h-index

  4. Multimedia Tools and Applications

    3 publications · 306 citations

    3

    h-index

  5. The Visual Computer

    3 publications · 186 citations

    3

    h-index

1–5